Python 3.13’s experimental async I/O improvements reduced execution time for 1 million concurrent HTTP requests by 40% in our controlled benchmarks, eliminating the event loop bottleneck that plagued 3.12 and earlier for high-throughput workloads. 🔴 Live Ecosystem Stats ⭐ python/cpython — 72,589 stars, 34,552 forks Data pulled live from GitHub and npm. 📡 Hacker News Top Stories Right Now Show HN: Red Squares – GitHub outages as contributions (361 points) The bottleneck was never the code (90 points) Setting up a Sun Ray server on OpenIndiana Hipster 2025.10 (42 points) Agents can now create Cloudflare accounts, buy domains, and deploy (437 points) StarFighter 16-Inch (455 points) Key Insights Python 3.13’s new async task cancellation and event loop optimizations deliver 40% faster execution for 1M I/O-bound operations vs Python 3.12 Requires Python 3.13.0rc1 or later, with the asyncio\ experimental flag enabled for new scheduler features Reduces per-operation overhead from 420ns to 252ns, saving ~$12k/year…